Gaertner (United States)

About

In recent decades, authors affiliated with Gaertner (United States) have published 832 papers, which have received a total of 29.7k indexed citations. Scholars at this organization have produced 169 papers in Molecular Biology, 62 papers in Surgery and 57 papers in Oncology on the topics of Plant Diversity and Evolution (32 papers), Neuroscience and Neuropharmacology Research (26 papers) and Receptor Mechanisms and Signaling (21 papers). Their work is cited by papers focused on Molecular Biology (7.2k citations), Surgery (3.1k citations) and Physiology (2.9k citations). Authors at Gaertner (United States) collaborate with scholars in United States, Brazil and United Kingdom and have published in prestigious journals including Science, New England Journal of Medicine and Proceedings of the National Academy of Sciences. Some of Gaertner (United States)'s most productive authors include Margaret J. Knapp, Marianne Broadbent, Peter Weill, Román Herrera, Alan R. Saltiel, Carmen Page, Luis del Peso, Gabriel Núñez, D. Asher Ghertner and George Sugai.

In The Last Decade

Gaertner (United States)

738 papers receiving 28.7k citations

Countries citing scholars working at Gaertner (United States)

Since Specialization
Citations

This map shows the geographic impact of research produced by authors working at Gaertner (United States). It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by papers produced at Gaertner (United States) with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Gaertner (United States) more than expected).

Fields of papers published by authors at Gaertner (United States)

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers affiliated with Gaertner (United States) at the time of their publication. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers affiliated with Gaertner (United States) at the time of their publication.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

Explore institutions with similar magnitude of impact

Rankless by CCL
2026